{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{6}{c}}
\hline\hline
                &Open request         &Extension was granted         &Replied within 15 bd         &Replied within 25 bd         &Replied in 15 bd         &Replied in 25 bd         \\
\hline
\vspace{-6mm}   &                  &                  &                  &                  &                  &                  \\
[1em]
Treatment       &   -0.023         &   -0.057         &    0.030         &   -0.012         &    0.004         &    0.040\sym{*}  \\
                &  (0.026)         &  (0.048)         &  (0.058)         &  (0.037)         &  (0.015)         &  (0.022)         \\
[1em]
Post            &   -0.004         &    0.101\sym{***}&    0.077\sym{**} &    0.062\sym{**} &   -0.002         &   -0.013         \\
                &  (0.007)         &  (0.035)         &  (0.032)         &  (0.029)         &  (0.014)         &  (0.017)         \\
[1em]
Treatment x Post&    0.011         &   -0.032         &   -0.041         &   -0.001         &    0.010         &    0.045\sym{**} \\
                &  (0.013)         &  (0.051)         &  (0.035)         &  (0.036)         &  (0.012)         &  (0.022)         \\
\hline
\addlinespace[3pt]Observations&    5,875         &    5,875         &    5,875         &    5,875         &    5,875         &    5,875         \\
\addlinespace[3pt]R-squared&    0.246         &    0.301         &    0.212         &    0.158         &    0.031         &    0.058         \\
\hline\hline
\multicolumn{7}{l}{\footnotesize  {\begin{minipage}{1.52\textwidth} \small   \vspace{0.2cm}  \textit{Notes:} * p $ < $ 0.10, ** p $ < $ 0.05, *** p $ < $ 0.01. Standard errors clustered by agency are shown in parentheses. Control variables include: month in which the agency received the request, the total number of requests received by the agency before the intervention (Jan 1, 2017 until Sept. 5, 2018), average percentage of pending requests (not past the deadline - Mean of \% Pending Pre) before the intervention, average percentage of late requests prior to the intervention (Mean of \% Backlog Pre), type of requester, serial requesters, topic of the request, total number of requests received by the agency on the date request $ i $ arrived, and ministry of the agency.  \end{minipage}  } }\\
\end{tabular}
}
